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The opioid crisis remains one of the most daunting and complex public health problems in the United States. This study investigates the national epidemic by analyzing vulnerability profiles of three key factors: opioid-related mortality…

Synthetic opioids are the most common drugs involved in drug-involved overdose mortalities in the U.S. The Center for Disease Control and Prevention reported that in 2018, about 70% of all drug overdose deaths involved opioids and 67% of…

Machine Learning · Computer Science 2024-10-14 Zhiyue Xia , Kathleen Stewart

Social media platforms have become a hub for political activities and discussions, democratizing participation in these endeavors. However, they have also become an incubator for manipulation campaigns, like information operations (IOs).…

Computers and Society · Computer Science 2024-11-21 Ozgur Can Seckin , Manita Pote , Alexander Nwala , Lake Yin , Luca Luceri , Alessandro Flammini , Filippo Menczer

With the rise of the open data movement a lot of statistical data has been made publicly available by governments, statistical offices and other organizations. First efforts to visualize are made by the data providers themselves. Data…

Human-Computer Interaction · Computer Science 2011-10-17 Daniel Hienert , Benjamin Zapilko , Philipp Schaer , Brigitte Mathiak

Over the years several studies have demonstrated the ability to identify potential drug-drug interactions via data mining from the literature (MEDLINE), electronic health records, public databases (Drugbank), etc. While each one of these…

Computers and Society · Computer Science 2015-07-21 Juan M. Banda , Tobias Kuhn , Nigam H. Shah , Michel Dumontier

Typically, for analysing and modelling social phenomena, networks are a convenient framework that allows for the representation of the interconnectivity of individuals. These networks are often considered transmission structures for…

Social and Information Networks · Computer Science 2025-03-31 Damian Serwata , Mateusz Nurek , Radoslaw Michalski

Data visualization techniques proffer efficient means to organize and present data in graphically appealing formats, which not only speeds up the process of decision making and pattern recognition but also enables decision-makers to fully…

Digital Libraries · Computer Science 2020-09-29 Shashwat Aggarwal , Ramesh Singh

Internet networks are handling increasing volume of traffic than ever before. This data is mainly associated to sensitive, distributed, and multimedia applications. In the past years, much attention has been paid to the way network…

Networking and Internet Architecture · Computer Science 2015-11-30 Keith B. Miller , Eric R. Brandon

This paper addresses the challenge of viewing and navigating Bayesian networks as their structural size and complexity grow. Starting with a review of the state of the art of visualizing Bayesian networks, an area which has largely been…

Artificial Intelligence · Computer Science 2017-07-05 Clifford Champion , Charles Elkan

Recent empirical evidence has shown that in many real-world systems, successfully represented as networks, interactions are not limited to dyads, but often involve three or more agents at a time. These data are better described by…

Physics and Society · Physics 2021-04-01 Federico Musciotto , Federico Battiston , Rosario N. Mantegna

Online toxic content has grown into a pervasive phenomenon, intensifying during times of crisis, elections, and social unrest. A significant amount of research has been focused on detecting or analyzing toxic content using machine-learning…

Computation and Language · Computer Science 2025-09-19 Gautam Kishore Shahi , Tim A. Majchrzak

The complex unfolding of the US opioid epidemic in the last 20 years has been the subject of a large body of medical and pharmacological research, and it has sparked a multidisciplinary discussion on how to implement interventions and…

Computers and Society · Computer Science 2021-02-23 Duilio Balsamo , Paolo Bajardi , Alberto Salomone , Rossano Schifanella

With the rise of geospatial big data, new narratives of cities based on spatial networks and flows have replaced the traditional focus on locations. While plenty of research have empirically analyzed network structures, there lacks a…

Physics and Society · Physics 2024-06-24 Xiaofan Liang , Yuhao Kang

We explore the hyperparameters and introduce a methodological framework to convert disease patterns from time series data of blood test results into correlation graphs for causal hypothesis exploration. The networks represent hypotheses…

Other Quantitative Biology · Quantitative Biology 2025-12-29 David Patrick Duys Montealegre , Alexander Fulton , Mahta Haghighat Ghahfarokhi , Abicumaran Uthamacumaran , Hector Zenil

Opioid related deaths are increasing dramatically in recent years, and opioid epidemic is worsening in the United States. Combating opioid epidemic becomes a high priority for both the U.S. government and local governments such as New York…

Populations and Evolution · Quantitative Biology 2019-01-14 Xin Chen , Yu Wang , Xiaxia Yu , Elinor Schoenfeld , Mary Saltz , Joel Saltz , Fusheng Wang

Visualization, as a vibrant field for researchers, practitioners, and higher educational institutions, is growing and evolving very rapidly. Tremendous progress has been made since 1987, the year often cited as the beginning of data…

Human-Computer Interaction · Computer Science 2021-11-30 Xiaoxiao Liu , Mohammad Alharbi , Joe Best , Jian Chen , Alexandra Diehl , Elif Firat , Dylan Rees , Qiru Wang , Robert S Laramee

The United States has an opioid epidemic, and Pennsylvania's Allegheny County is among the worst. This motivates a deeper exploration of what characterizes the epidemic, such as what are risk factors for people who ultimately overdose and…

Applications · Statistics 2018-04-25 Theresa Gebert , Shuli Jiang , Jiaxian Sheng

Substance Use Disorders (SUDs) involve the misuse of any or several of a wide array of substances, such as alcohol, opioids, marijuana, and methamphetamine. SUDs are characterized by an inability to decrease use despite severe social,…

Computers and Society · Computer Science 2020-06-25 Lana Yarosh , Suzanne Bakken , Alan Borning , Munmun De Choudhury , Cliff Lampe , Elizabeth Mynatt , Stephen Schueller , Tiffany Veinot

Politics is the set of activities related to strategic decision-making in groups. Political scientists study the strategic interactions between states, institutions, politicians, and citizens; they seek to understand the causes and…

Human-Computer Interaction · Computer Science 2024-05-10 Dongyun Han , Abdullah-Al-Raihan Nayeem , Jason Windett , Yaoyao Dai , Benjamin Radford , Isaac Cho

As modern industry shifts toward significant globalization, robust and adaptable network capability is increasingly vital to the success of business enterprises. Large quantities of information must be distilled and presented in a single…